```
context("Frequency counts (one- and two-way tables)")
cas <- suppressMessages(iNZightTools::smart_read("cas.csv"))
cas_freq <- suppressMessages(iNZightTools::smart_read("cas_freq.csv"))
# cas <- suppressMessages(iNZightTools::smart_read("tests/testthat/cas.csv"))
# cas_freq <- suppressMessages(iNZightTools::smart_read("tests/testthat/cas_freq.csv"))
test_that("One way tables give the same results", {
expect_silent(
p0 <- iNZightPlot(travel, data = cas, inference.type = "conf")
)
expect_silent(
p1 <- iNZightPlot(travel, data = cas_freq, freq = count,
inference.type = "conf")
)
expect_equivalent(p0$all$all$phat, p1$all$all$phat)
expect_equivalent(
p0$all$all$inference$conf,
p1$all$all$inference$conf
)
})
test_that("Two way tables give the same results", {
expect_silent(
p0 <- iNZightPlot(travel, gender, data = cas, inference.type = "conf")
)
expect_silent(
p1 <- iNZightPlot(travel, gender, data = cas_freq, freq = count,
inference.type = "conf")
)
expect_equivalent(
unclass(p0$all$all$phat),
unclass(p1$all$all$phat)
)
expect_equivalent(
lapply(p0$all$all$inference$conf, unclass),
lapply(p1$all$all$inference$conf, unclass)
)
})
test_that("Segmented bar charts are correct", {
expect_silent(
p0 <- iNZightPlot(travel, colby = gender, data = cas)
)
expect_silent(
p1 <- iNZightPlot(travel, colby = gender, data = cas_freq, freq = count)
)
expect_equivalent(
p0$all$all$p.colby,
p1$all$all$p.colby
)
})
test_that("Inference information works", {
expect_is(
getPlotSummary(cas_freq$travel,
freq = cas_freq$count,
summary.type = "inference",
inference.type = "conf"
),
"inzight.plotsummary"
)
})
```

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